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multi-agent autonomous systems and related technologies. This will include development of distributed monitoring algorithms enabling agents in a multi-agent swarm to autonomously locate other agents in
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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University of Arizona working in the area of reinforcement learning, multi-agent systems, neuro-symbolic AI, and trustworthy intelligence. We invite qualified candidates to join our group and participate in
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and Research Ireland. Urban Sense is modelling and measuring greenhouse gas (GHG) emissions across Dublin. The focus of this position is developing an agent-based model (ABM) to capture the statistical
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, molecular dynamics simulations using ab initio and machine-learning potentials, and the development or application of machine-learning tools for feature extraction, property prediction, and inverse molecular
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dynamics simulations to investigate photoinduced processes and connect them to timescales obtained from nonlinear electronic spectroscopic measurements Plan and conduct simulations and work with
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necessary for the benefit of the project; employ simulations and data analysis routines to analyze your data; • help to establish a scientifically outstanding and warmly communicative
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/w) fixed-term postdoctoral position in Simulation and Modelling. The position focuses on designing and implementing the agent-based modeling component of research projects in code, requiring
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. These data will be complemented by data from a bespoke survey, designed and analysed by other members of the team. The results from the digital ethnographies will feed into spatial micro-simulation and agent
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Description This project aims at developing plastic neural models that capture the insect navigational plasticity and resilience. 36 months (renewable +12 months) Simulation of navigating ant-agent models